Intro To NumPy Arrays

Question 1

How to import NumPy

Answer 1

Import numpy as np

Question 2

Converting a list to a numpy array

Answer 2

price_array = np.array(price)
quantity_sold_array = np.array(quantity_sold)
type(price_array
Output - numpy.ndarray

Question 3

Adding to array

Answer 3

Price_array = price_array + [7]
print(price_array)
Output- [9 8 17]

Question 4

To get original value back, we subtract 6, then use np.append() function to include the value 7 as desired

Answer 4

Price_array = price_array -[7]
Price_array = np.append(price_array, 7)
Print(price_array)
Output- [2 1 10 7]

Question 5

To append multiple values to the array in one command

Answer 5

Price_array = np.append(price_array, [4.50, 3, 4, 9])
print(price_array)
Output- [2. 1. 10. 7. 4.5 3. 4. 9.]

Question 6

To accommodate a value with decimal point and To check the data type of elements within the array

Answer 6

print(price.array.dtype)

Output- float64

Question 7

To delete element in array

Answer 7

We use indexing, we can use negative
price_array = np.delete(price_array, -1)
Print(price_array)
Output- [2. 1. 10. 7. 4.5 3. 4.]

Question 8

To replace element in array

Answer 8

Identify the index and use this function
price_array[2] = 12
print(price_array)
Output- [ 2. 1. 12. 7. 4.5 3. 4. ]

Question 9

How to use enumerate function to slice out dinner options with its integer index

Answer 9

For I, food in enumerate(options_array):

print(f’ {i}: {food} ‘)